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2021-02-03 10:39:18
30-Day Money-Back Guarantee
IT & Software Other IT & Software Big Data

Big Data Crash Course | Learn Hadoop, Spark, NiFi and Kafka

Ramp up on Key Big Data Technologies in Shortest Possible Time
Rating: 4.5 out of 54.5 (60 ratings)
282 students
Created by Bhavuk Chawla
Last updated 2/2021
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Gain Holistic Picture of Big Data Ecosystem
  • Ramp up on Key Big Data Technologies like Hadoop, Spark, Kafka, NiFi etc. in shortest possible time
  • Understand "What", "Why" and "Architecture" of Key Big Data Technologies with hands-on labs
  • Perform hands-on on Google Cloud DataProc Pseudo Distributed (Single Node) Environment
  • Experience Classroom like environment via White-boarding sessions

Requirements

  • Basics of SQL and RDBMS
  • Unix/Linux Basic Commands like mkdir, ls, cat etc
  • Python/Java/Scala (not used extensively in the course)
  • Credit card for setting up GCP account (no charges will be deducted if using GCP trial version). You can perform all exercises of this course without incurring charges. Please refer “GCP Account Best Practices” Section for more details.
  • Twitter Account

Description

  • 9 hours+ Video Content

  • Gain Holistic Picture of Big Data Ecosystem

  • Learn HDFS, HBase, YARN, MapReduce Concepts, Spark, Impala, NiFi and Kafka

  • Experience Classroom like environment via White-boarding sessions

  • Understand "What", "Why" and "Architecture" of Key Big Data Technologies with hands-on labs

  • Perform hands-on on Google Cloud DataProc Pseudo Distributed (Single Node) Environment

  • Delivered by Bhavuk Chawla who has trained 5000+ participants in in-person training

  • Acquire Certificate on Successful Completion of the Course

Below are our more courses -

  1. Big Data Crash Course | Learn Hadoop, Spark, NiFi and Kafka

  2. Big Data For Architects | Build Big Data Pipelines and Compare Key Big Data Technologies

  3. Google Data Engineer Certification Practice Exams

  4. Setup Single Node Cloudera Cluster on Google Cloud

  5. Confluent Certified Operator for Apache Kafka Practice Test

  6. Confluent Certified Developer Apache Kafka Practice Tests

You may join our YouTube Channel named "DataCouch" for getting access to interesting videos free of cost.

We are also an official training delivery partner of Confluent Kafka.. We conduct corporate trainings on various topics including Confluent Kafka Developer, Confluent Kafka Administration, Confluent Kafka Real Time Streaming using KSQL & KStreams and Confluent Kafka Advanced Optimization. Our instructors are well qualified and vetted by Confluent for delivering such courses.

Please feel free to reach out if you have any requirements for Confluent Kafka Training for your team. Happy to assist.


Who this course is for:

  • Engineers who are aiming to get a job in Big Data
  • Engineers who would like to transition their roles into Big Data Technologies
  • Big Data Engineers planning to appear for Certifications like CCA175, CCA159
  • Big Data Engineers who are looking for Promotion :)

Course content

12 sections • 78 lectures • 9h 41m total length

  • Preview02:34
  • Preview03:14
  • Preview02:48
  • Preview02:08

  • Preview01:39
  • Creating a Dataproc Cluster
    12:47
  • GCP Account Best Practices
    02:55
  • Twitter Developer Account Setup
    03:31

  • Preview10:20
  • Data Lake Overview
    06:03
  • Key Roles in Big Data Science Project
    16:56
  • Big Data Logical Architecture
    20:00
  • Typical Big Data Pipeline
    06:00
  • Hadoop Overview
    09:20
  • Preview06:06

  • HDFS Overview
    06:16
  • Small FS vs HDFS
    03:12
  • HDFS Architecture
    11:23
  • Hands-on HDFS
    11:32
  • Hands-on HDFS
    01:17

  • Introduction to MapReduce
    05:07
  • Logical & Physical Architecture of MR
    15:51
  • YARN (Distributed OS)
    07:08
  • YARN Architecture
    14:55
  • Hands-on Spark Job on YARN
    09:51
  • Spark on Yarn - Hands-on
    02:33

  • RDBMS USPs & its Limitations
    06:58
  • Polyglot Persistence
    06:36
  • Why HBase and Limitations
    10:50
  • HBase Terms
    09:42
  • HBase Physical Storage
    04:38
  • HBase Architecture
    16:58
  • Installation HBase on DataProc cluster
    05:07
  • Installing Confluent Kafka
    07:39
  • Installing Confluent Kafka - Hands On
    00:32
  • Hands-on HBase
    08:12
  • Hands-on HBase
    00:37

  • Sqoop Overview
    07:06
  • Sqoop Architecture
    08:51
  • Sqoop Installation
    11:49
  • Sqoop Installation
    02:03
  • Sqoop Hands-on
    05:12
  • Sqoop Hands-on
    00:45

  • Hive Introduction
    08:11
  • Hive Architecture
    06:54
  • Impala Overview
    06:52
  • Impala Architecture
    12:27
  • Text vs Binary Data Formats
    03:29
  • Avro Format
    05:16
  • Hive Hands-on
    16:19
  • Hive Hands-on
    00:46
  • Hands-on: Sqoop + Hive Integration
    09:27
  • Hands-on: Sqoop + Hive Integration
    00:47
  • Hands-on Schema Evolution
    18:53
  • Hands-on Schema Evolution
    00:57

  • Spark Overview
    06:55
  • Spark Logical Perspective
    07:17
  • Spark Physical Architecture
    14:12
  • Spark Core Vs Spark SQL
    04:21
  • Spark Execution Modes
    08:51
  • Hands-on Spark on Jupyter
    13:08

  • Introduction to Apache Kafka
    09:24
  • Evolution of Kafka
    04:33
  • Why Kafka?
    12:07
  • Apache Kafka Vs Confluent Kafka
    07:09
  • Kafka Architecture
    20:41
  • Kafka Demo - Producer Consumer
    04:05
  • Kafka Demo - Producer Consumer
    00:12

Instructor

Bhavuk Chawla
Authorized Instructor for Google, Cloudera, Confluent
Bhavuk Chawla
  • 4.3 Instructor Rating
  • 509 Reviews
  • 10,662 Students
  • 8 Courses

Bhavuk has over 16 years of experience in IT, more than 8 years of experience implementing Cloud/ML/AI/Big Data Science related projects. He is an official instructor for Google, Confluent, and Cloudera. He has delivered and continues to deliver his training sessions in various companies like Google Singapore, Microsoft Bangalore, Starbucks Coffee Seattle, Adobe India, and EMEA Region, etc.

He was recognized by Cloudera as the Instructor of the Year 2016 (APAC) for his exceptionally high ratings received in various training sessions. Connect with him on LinkedIn for Long term Learning partnership.

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